Introducing SAMMSA, a Five-Step Method for Producing 'Quality' Qualitative Analysis

Qualitative health research is ever growing in sophistication and complexity. While much has been written about many components (e.g. sampling and methods) of qualitative design, qualitative analysis remains an area still needing advanced reflection. Qualitative analysis often is the most daunting and intimidating component of the qualitative research endeavor for both teachers and learners alike. Working collaboratively with research trainees, our team has developed SAMMSA (Summary & Analysis coding, Micro themes, Meso themes, Syntheses, and Analysis), a 5-step analytic process committed to both clarity of process and rich 'quality' qualitative analysis. With roots in hermeneutics and ethnography, SAMMSA is attentive to data holism and guards against the data fragmentation common in some versions of thematic analysis. This article walks the reader through SAMMSA's 5 steps using research data from a variety of studies to demonstrate our process. We have used SAMMSA with multiple qualitative methodologies. We invite readers to tailor SAMMSA to their own work and let us know about their processes and results.